Triple
T1810675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Hughes (DD-410) |
E40323
|
entity |
| Predicate | placeBuilt |
P14101
|
FINISHED |
| Object | Bath, Maine |
E359728
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bath, Maine | Statement: [USS Hughes (DD-410), placeBuilt, Bath, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bath, Maine Context triple: [USS Hughes (DD-410), placeBuilt, Bath, Maine]
-
A.
Bath, Maine
chosen
Bath, Maine is a small coastal city on the Kennebec River known for its historic shipbuilding industry and home to the major naval shipyard Bath Iron Works.
-
B.
Blaine, Maine
Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
-
C.
Avon, Maine
Avon, Maine is a small rural town in western Maine known for its scenic landscapes and location within Franklin County.
-
D.
Baldwin, Maine
Baldwin, Maine is a small rural town in Cumberland County known for its scenic landscapes and proximity to the western Maine mountains.
-
E.
Waterville, Maine
Waterville, Maine is a small city in central Maine known for hosting Colby College and its historic mill and riverfront downtown along the Kennebec River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c461e881908070cb80d9092981 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c2aefc08190931de470b930ce34 |
completed | March 21, 2026, 1:24 p.m. |
Created at: March 4, 2026, 7:32 p.m.